Estimating the Quality of Digitally Transmitted Speech over Satellite Communication Channels

Atayero, A. A. and Alatishe, A. S. and Iruemi, J. O. (2012) Estimating the Quality of Digitally Transmitted Speech over Satellite Communication Channels. Journal of Information Engineering and Applications, 2 (5). pp. 17-26. ISSN 2224-5782 (print) ISSN 2225-0506 (online)

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Abstract

Analogue speech signal is one of the most natural means used by humans for communication purposes. The emergence of digital modulation and coding techniques has made the transmission of analogue speech (as digital content) over various conduits possible, albeit with inevitable signal degradation as a result of errors inherent in the conversion process. A need naturally arises for determining the quality of speech received at the information sink, with a view to enhancing its robustness to degradation suffered in transit over the communication channel. We present in this paper analytic methods of qualitative assessment of the quality of recovered digitally transmitted speech. A methodology for determining the intelligibility of speech by using segmental SNR gotten by dividing the speech signal into M integer segments is proposed. This methodology has the following advantages: a) it allows for assessing the dynamics of change of speech quality in real-time through statistical modeling, b) it obviates the need for expensive, yet subjective experimental approaches like MOS, and c) it takes into consideration not only the signal power, but also its spectral characteristics which is a step above the use of Modulated Noise Reference Units (MNRUs). Using the obtained results, a procedure for analysis of speech intelligibility by means of statistical modeling is developed.

Item Type:	Article
Uncontrolled Keywords:	Speech processing, Mean opinion score, MOS, SNR, PCM, Quantization noise
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User:	Mrs Patricia Nwokealisi
Date Deposited:	10 Feb 2020 09:40
Last Modified:	10 Feb 2020 09:40
URI:	http://eprints.covenantuniversity.edu.ng/id/eprint/13118

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